Master Thesis – Developing a Data Strategy for AI-Driven Product Development (f/m/d)

Freudenberg; Wolfratshausen; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading global technology company in Wolfratshausen seeks a master's student for a thesis in data management. Responsibilities include analyzing data landscapes and developing data strategies to improve data quality for AI projects. Candidates should have a strong background in data analysis, be fluent in German and English, and be passionate about digital transformation. This opportunity is part of your studies, with a minimum commitment of five months.

Qualifikationen

• Currently pursuing a Master's degree in a relevant field.
• Practical experience in data analysis.
• Initial experience in projects or internships related to data management.

Aufgaben

• Analyze the existing data landscape.
• Develop a data strategy for better data management.
• Conceptualize a scalable data management system.

Kenntnisse

Data analysis with Python, R or SQL

Understanding of product development processes

Strong communication in German and English

Passion for digital transformation

Knowledge of cloud technologies and Azure

Ausbildung

Master's degree in Mechanical/Electrical Engineering, Industrial Engineering, Computational Engineering, Computer Science

Jobbeschreibung

Working at Freudenberg: We will wow your world!

Responsibilities

A structured data management is essential for the successful implementation of AI projects. This thesis aims to design and evaluate data strategies to improve data availability, quality, and structure in the research and development of mechanical seal products. The work will lay the foundation for future AI and ML projects by analyzing existing data sources, identifying integration potentials, and developing a concept for a scalable data management system. The following tasks are planned:

• Analysis of the existing data landscape (testing, simulation, sensor data)
• Assessment of data quality and accessibility
• Development of a data strategy (data harmonization, role distribution)
• Conceptualization of a data management system (tool comparison, infrastructure)
• Change management and implementation recommendations (user acceptance, data protection, training)

Qualifications

• You are currently pursuing a Master\'s degree – ideally in Mechanical/Electrical Engineering, Industrial Engineering, Computational Engineering, Computer Science or a related field
• You are passionate about digital transformation, data management, and optimizing ETL processes
• You have practical experience in data analysis (e.g., with Python, R or SQL) and are familiar with common tools
• You think strategically, understand product development processes, and have a good sense for change processes in companies
• You communicate confidently in German and English – and enjoy working in international teams and with various stakeholders
• Initial practical experience in projects or internships related to data management, digital transformation or R&D is advantageous
• Knowledge of cloud technologies, experience with Azure is a plus.
• The master’s thesis is a mandatory component of your studies. You are available for at least five months, with six months being ideal.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.

EagleBurgmann Germany GmbH & Co. KG